Whitepaper

Generate Business Value with AI Using the Production-First Approach to MLOps

In 2018, Can Cloud, Big Data and AI Stand More Turmoil?

The amount of new technologies in 2017 has been overwhelming: The cloud was adopted faster than analysts projected and brought several new tools with it; AI was introduced into just about all areas of our lives; IoT and edge computing emerged; and a slew of cloud-native technologies came into fruition, such as Kubernetes, serverless, and...

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AWS re:Invent is about Data, Serverless, and AI

AWS re:Invent is all about how managed data services, serverless, and AI work together to enable new business applications. The focus is shifting from building the infrastructure of your choice in a playground that has an endless number of toys (services) to an opinionated, pre-packaged approach that enables customers to focus on business applications. Why? Businesses are aligning with the...

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IT Vendors Don't Stand a Chance Against the Cloud

Last week I sat in on an AWS event in Tel Aviv. I didn’t hear a single word about infrastructure or IT and nothing about VMs or storage, either. It was all about developers and how they can build production grade solutions faster, at a fraction of the cost, while incorporating Amazon’s latest security, AI...

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AWS S3 Outage Signals We MUST Decentralize Cloud

Earlier this week, a significant portion of the internet was down due to an Amazon Web Services’ (AWS) S3 outage. While AWS blames the problem on the removal of a couple of servers, the real question is why have we created such a dependency on services like AWS?  Won’t it get worse with the coming...

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Serverless: Background, Challenges and Future

Serverless computing is the latest buzz, driven by the digital economy’s demand for instant results without the hassle. The serverless concept is a prepacked flavor of modern cloud-native architecture which decomposes applications to multiple stateless and elastic micro-service tiers. Micro-services shrink or grow to satisfy demand; they are restarted in case of a resource failure...

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